A visualized nomogram to predict intravenous immunoglobulin resistance in Kawasaki disease: a study based on the population in Southern China.

ABSTRACT:

Background

A significant proportion of Kawasaki disease (KD) patients suffer from intravenous immunoglobulin (IVIG) resistance after initial IVIG treatment, which results in persistent coronary artery injury. This study aimed to analyze the risk factors including coagulation indicators and develop a visualized nomogram model to early predict KD patients who would be at high risk of IVIG-resistant.

Methods

Consecutive KD patients receiving standard dose of IVIG in Xiamen Women and Children's Hospital between April 2014 and June 2024 were included in the study. Baseline variables were analyzed using univariate logistic regression and multivariable logistic regression to identify the predictors of IVIG-resistance and derive a nomogram model for the assessment of IVIG-resistance

SUBMITTER: Lin X 

PROVIDER: S-EPMC11994021 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature